Learning to recognize objects in egocentric activities

@article{Fathi2011LearningTR,
  title={Learning to recognize objects in egocentric activities},
  author={Alireza Fathi and Xiaofeng Ren and James M. Rehg},
  journal={CVPR 2011},
  year={2011},
  pages={3281-3288}
}
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know only the names of the objects which are present within it, and have no other knowledge regarding the appearance or location of objects. The key to our approach is a robust, unsupervised bottom up segmentation method, which exploits the structure of the egocentric domain to partition each frame into hand, object, and… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 196 CITATIONS, ESTIMATED 42% COVERAGE

FILTER CITATIONS BY YEAR

2011
2019

CITATION STATISTICS

  • 53 Highly Influenced Citations

  • Averaged 38 Citations per year over the last 3 years

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

mantic label sharing for learning with many categories

  • H. Bernal, Y. Weiss
  • 2010

Similar Papers

Loading similar papers…